Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Cartethyia vs Kazuya 162–62 72.32%
Cartethyia vs Dragunov 106–51 67.52%
Cartethyia vs Bryan 99–42 70.21%
Cartethyia vs Reina 91–34 72.80%
Cartethyia vs Steve 83–28 74.77%
Cartethyia vs Paul 68–33 67.33%
Cartethyia vs King 58–41 58.59%
Cartethyia vs Hwoarang 76–20 79.17%
Cartethyia vs Asuka 65–20 76.47%
Cartethyia vs Jin 48–31 60.76%
Cartethyia vs Lidia 42–20 67.74%
Cartethyia vs Lili 46–12 79.31%
Cartethyia vs Devil Jin 33–23 58.93%
Cartethyia vs Claudio 30–25 54.55%
Cartethyia vs Victor 27–24 52.94%
Cartethyia vs Heihachi 33–16 67.35%
Cartethyia vs Feng 28–16 63.64%
Cartethyia vs Yoshimitsu 23–20 53.49%
Cartethyia vs Jun 32–10 76.19%
Cartethyia vs Jack-8 10–30 25.00%
Cartethyia vs Azucena 27–13 67.50%
Cartethyia vs Lee 20–18 52.63%
Cartethyia vs Law 20–16 55.56%
Cartethyia vs Clive 14–18 43.75%
Cartethyia vs Leo 23–6 79.31%
Cartethyia vs Alisa 16–12 57.14%
Cartethyia vs Shaheen 19–9 67.86%
Cartethyia vs Nina 14–12 53.85%
Cartethyia vs Raven 11–14 44.00%
Cartethyia vs Lars 12–12 50.00%
Cartethyia vs Xiaoyu 14–6 70.00%
Cartethyia vs Anna 13–7 65.00%
Cartethyia vs Zafina 9–7 56.25%
Cartethyia vs Leroy 9–5 64.29%
Cartethyia vs Eddy 5–9 35.71%
Cartethyia vs Kuma 6–6 50.00%
Cartethyia vs Fahkumram 8–2 80.00%
Cartethyia vs Panda 5–3 62.50%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.